mmclassification/mmpretrain/datasets/transforms/__init__.py

35 lines
1.9 KiB
Python

# Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import (CenterCrop, LoadImageFromFile, Normalize,
RandomFlip, RandomGrayscale, RandomResize, Resize)
from mmpretrain.registry import TRANSFORMS
from .auto_augment import (AutoAugment, AutoContrast, BaseAugTransform,
Brightness, ColorTransform, Contrast, Cutout,
Equalize, GaussianBlur, Invert, Posterize,
RandAugment, Rotate, Sharpness, Shear, Solarize,
SolarizeAdd, Translate)
from .formatting import (Collect, NumpyToPIL, PackInputs, PackMultiTaskInputs,
PILToNumpy, Transpose)
from .processing import (Albumentations, BEiTMaskGenerator, ColorJitter,
EfficientNetCenterCrop, EfficientNetRandomCrop,
Lighting, RandomCrop, RandomErasing,
RandomResizedCrop, ResizeEdge, SimMIMMaskGenerator)
from .wrappers import MultiView
for t in (CenterCrop, LoadImageFromFile, Normalize, RandomFlip,
RandomGrayscale, RandomResize, Resize):
TRANSFORMS.register_module(module=t)
__all__ = [
'NumpyToPIL', 'PILToNumpy', 'Transpose', 'Collect', 'RandomCrop',
'RandomResizedCrop', 'Shear', 'Translate', 'Rotate', 'Invert',
'ColorTransform', 'Solarize', 'Posterize', 'AutoContrast', 'Equalize',
'Contrast', 'Brightness', 'Sharpness', 'AutoAugment', 'SolarizeAdd',
'Cutout', 'RandAugment', 'Lighting', 'ColorJitter', 'RandomErasing',
'PackInputs', 'Albumentations', 'EfficientNetRandomCrop',
'EfficientNetCenterCrop', 'ResizeEdge', 'BaseAugTransform',
'PackMultiTaskInputs', 'GaussianBlur', 'BEiTMaskGenerator',
'SimMIMMaskGenerator', 'CenterCrop', 'LoadImageFromFile', 'Normalize',
'RandomFlip', 'RandomGrayscale', 'RandomResize', 'Resize', 'MultiView'
]